Historical context & research account
VQ-VAE-2 combines hierarchical discrete latent variables with autoregressive priors to produce high-quality images for its period. It supplies technical background for approaches such as DALL·E, in which visual representations are tokenized and modeled within larger generative systems.
Dates & version record
Date displayed for this node：2019 · Date recorded in the research master：2019
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Original sources & further reading
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Generating Diverse High-Fidelity Images with VQ-VAE-2
https://arxiv.org/abs/1906.00446
Current cited URL
Provenance, translation & verification
Archive node #066 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 20 · 066
Date as recorded: 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 ↗
Generating Diverse High-Fidelity Images with VQ-VAE-2
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Cite this node
ANTI-AI ARCHIVE. Generating Diverse High-Fidelity Images with VQ-VAE-2. Art-history node #066. https://salondesrefuses.cn/en/art-history/066
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